An AI-powered system that detects apple leaf diseases using deep learning. Built with Flask, TensorFlow, and Twilio, it allows users to upload leaf images via a web app or WhatsApp to get instant disease predictions and prevention tips — helping farmers take early action.
- Python, TensorFlow, Flask
- HTML, CSS, JavaScript
- Twilio API (for WhatsApp bot)
- Ngrok (for local-to-web connection)
- Real-time leaf disease prediction (Healthy / Rust / Powdery Mildew)
- Web interface for image upload
- WhatsApp chatbot integration via Twilio
- AI model trained on Plant Disease Recognition Dataset (Kaggle)
- Training Accuracy: 92.06%
- Validation Accuracy: 86.67%
- CNN with 3-class Softmax output layer
Flask ↔ TensorFlow Model ↔ Ngrok ↔ Twilio WhatsApp API
Arindam Das
GitHub Profile